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MatisseVS
/
SD2_Dreambooth

Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
if
if-diffusers
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use MatisseVS/SD2_Dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MatisseVS/SD2_Dreambooth with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MatisseVS/SD2_Dreambooth", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
SD2_Dreambooth / vae
Ctrl+K
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  • 1 contributor
History: 1 commit
MatisseVS's picture
MatisseVS
End of training
8e03c55 verified about 1 year ago
  • config.json
    915 Bytes
    End of training about 1 year ago
  • diffusion_pytorch_model.safetensors
    335 MB
    xet
    End of training about 1 year ago